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A Model-Centric Multivariate Analysis for Reducing H<inf>2</inf>S Emissions in Wastewater Treatment Plants

Abstract:

Validated mathematical models were studied applying a multivariate analysis of relevant outputs in a wastewater treatment plant. Monte-Carlo based simulations permit to obtain enough responses of the outputs when varying relevant inputs. Uncertainty is incorporated into the flow rates of wastewater and the wind velocity. Results show the strengths and limitations of the models as well as the impact towards the reduction of H2S. The dynamic variability is captured using a covariance analysis at different time intervals.